Learning Structural Weight Uncertainty for Sequential Decision-Making. - Ruiyi Zhang 002; Chunyuan Li; Changyou Chen; Lawrence Carin (AISTATS, 2018)

Variational Inference and Model Selection with Generalized Evidence Bounds. - Liqun Chen 001; Chenyang Tao; Ruiyi Zhang 002; Ricardo Henao; Lawrence Carin (ICML, 2018)

Policy Optimization as Wasserstein Gradient Flows. - Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Lawrence Carin (ICML, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Haichao Zhang; Zhe Gan; Dinghan Shen; Yizhe Zhang 002; Guoyin Wang 002; Ruiyi Zhang 002; Lawrence Carin (NeurIPS, 2018)

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. - Changyou Chen; Ruiyi Zhang 002; Wenlin Wang; Bai Li 001; Liqun Chen 001 (UAI, 2018)

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001; Lawrence Carin (CoRR, 2018)

Sequence Generation with Guider Network. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Liqun Chen 001; Dinghan Shen; Guoyin Wang 002; Lawrence Carin (CoRR, 2018)

Scalable Thompson Sampling via Optimal Transport. - Ruiyi Zhang 002; Zheng Wen; Changyou Chen; Chen Fang; Tong Yu 001; Lawrence Carin (AISTATS, 2019)

Neural caption generation over figures. - Charles Chen; Ruiyi Zhang 002; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (UbiComp/ISWC Adjunct, 2019)

Improving Sequence-to-Sequence Learning via Optimal Transport. - Liqun Chen 001; Yizhe Zhang 002; Ruiyi Zhang 002; Chenyang Tao; Zhe Gan; Haichao Zhang; Bai Li 001; Dinghan Shen; Changyou Chen; Lawrence Carin (ICLR (Poster), 2019)

Understanding and Accelerating Particle-Based Variational Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001 (ICML, 2019)

Variational Annealing of GANs: A Langevin Perspective. - Chenyang Tao; Shuyang Dai; Liqun Chen 001; Ke Bai 001; Junya Chen; Chang Liu 030; Ruiyi Zhang 002; Georgiy V. Bobashev; Lawrence Carin (ICML, 2019)

Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. - Tong Yu 001; Yilin Shen; Ruiyi Zhang 002; Xiangyu Zeng 003; Hongxia Jin (ACM Multimedia, 2019)

Topic-Guided Variational Auto-Encoder for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (NAACL-HLT (1), 2019)

Improving Textual Network Learning with Variational Homophilic Embeddings. - Wenlin Wang; Chenyang Tao; Zhe Gan; Guoyin Wang 002; Liqun Chen 001; Xinyuan Zhang 001; Ruiyi Zhang 002; Qian Yang 003; Ricardo Henao; Lawrence Carin (NeurIPS, 2019)

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin; Changyou Chen (NeurIPS, 2019)

Scalable Thompson Sampling via Optimal Transport. - Ruiyi Zhang 002; Zheng Wen; Changyou Chen; Lawrence Carin (CoRR, 2019)

Topic-Guided Variational Autoencoders for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (CoRR, 2019)

Figure Captioning with Reasoning and Sequence-Level Training. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (CoRR, 2019)

Collaborative Filtering with A Synthetic Feedback Loop. - Wenlin Wang; Hongteng Xu; Ruiyi Zhang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. - Zhenyi Wang 001; Ping Yu; Yang Zhao; Ruiyi Zhang 002; Yufan Zhou 001; Junsong Yuan 001; Changyou Chen (AAAI, 2020)

Improving Adversarial Text Generation by Modeling the Distant Future. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Dinghan Shen; Guoyin Wang 002; Zheng Wen; Lawrence Carin (ACL, 2020)

Nested-Wasserstein Self-Imitation Learning for Sequence Generation. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Zheng Wen; Wenlin Wang; Lawrence Carin (AISTATS, 2020)

Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. - Jianyi Zhang; Ruiyi Zhang 002; Lawrence Carin; Changyou Chen (AISTATS, 2020)

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. - Bang An 001; Jie Lyu 004; Zhenyi Wang 001; Chunyuan Li; Changwei Hu; Fei Tan; Ruiyi Zhang 002; Yifan Hu 001; Changyou Chen (EMNLP (1), 2020)

Improving Text Generation with Student-Forcing Optimal Transport. - Jianqiao Li; Chunyuan Li; Guoyin Wang 002; Hao Fu 002; Yuh-Chen Lin; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Ruiyi Zhang 002; Wenlin Wang; Dinghan Shen; Qian Yang 003; et al. (EMNLP (1), 2020)

Semantic Matching via Optimal Partial Transport. - Ruiyi Zhang 002; Changyou Chen; Xinyuan Zhang 001; Ke Bai 001; Lawrence Carin (EMNLP (Findings), 2020)

Bayesian Meta Sampling for Fast Uncertainty Adaptation. - Zhenyi Wang 001; Yang Zhao; Ping Yu; Ruiyi Zhang 002; Changyou Chen (ICLR, 2020)

Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. - Tong Yu 001; Branislav Kveton; Zheng Wen; Ruiyi Zhang 002; Ole J. Mengshoel (ICML, 2020)

Figure Captioning with Relation Maps for Reasoning. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Ryan A. Rossi (WACV, 2020)

Reward Constrained Interactive Recommendation with Natural Language Feedback. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin; Changyou Chen; Lawrence Carin (CoRR, 2020)

Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. - Tong Yu 001; Branislav Kveton; Zheng Wen; Ruiyi Zhang 002; Ole J. Mengshoel (CoRR, 2020)

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. - Xinyuan Zhang 001; Ruiyi Zhang 002; Manzil Zaheer; Amr Ahmed 001 (AAAI, 2021)

Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. - Siyang Yuan; Pengyu Cheng; Ruiyi Zhang 002; Weituo Hao; Zhe Gan; Lawrence Carin (ICLR, 2021)

Reinforcement Learning for Flexibility Design Problems. - Yehua Wei; Lei Zhang; Ruiyi Zhang 002; Shijing Si; Hao Zhang 050; Lawrence Carin (CoRR, 2021)

SDA: Improving Text Generation with Self Data Augmentation. - Ping Yu; Ruiyi Zhang 002; Yang Zhao; Yizhe Zhang 002; Chunyuan Li; Changyou Chen (CoRR, 2021)

LAFITE: Towards Language-Free Training for Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Chris Tensmeyer; Tong Yu 001; Jiuxiang Gu; Jinhui Xu 001; Tong Sun 005 (CoRR, 2021)

Towards Uncertainty and Efficiency in Reinforcement Learning. - Ruiyi Zhang 002 (2021)

Text-Based Interactive Recommendation via Offline Reinforcement Learning. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin (AAAI, 2022)

TiGAN: Text-Based Interactive Image Generation and Manipulation. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Chris Tensmeyer; Tong Yu 001; Changyou Chen; Jinhui Xu 001; Tong Sun 005 (AAAI, 2022)

Few-Shot Class-Incremental Learning for Named Entity Recognition. - Rui Wang 088; Tong Yu 001; Handong Zhao; Sungchul Kim; Subrata Mitra; Ruiyi Zhang 002; Ricardo Henao (ACL (1), 2022)

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. - Zihan Wang 001; Jiuxiang Gu; Jason Kuen; Handong Zhao; Vlad I. Morariu; Ruiyi Zhang 002; Ani Nenkova; Tong Sun 005; Jingbo Shang (ACL (Findings), 2022)

Towards Language-Free Training for Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Chris Tensmeyer; Tong Yu 001; Jiuxiang Gu; Jinhui Xu 001; Tong Sun 005 (CVPR, 2022)

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. - Junda Wu; Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Handong Zhao; Shuai Li 010; Ricardo Henao; Ani Nenkova (EMNLP (Findings), 2022)

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. - Shijing Si; Jianzong Wang; Ruiyi Zhang 002; Qinliang Su; Jing Xiao 006 (IJCNN, 2022)

CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. - Zhizhang Hu; Tong Yu 001; Ruiyi Zhang 002; Shijia Pan (SenSys, 2022)

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. - Junda Wu; Zhihui Xie 002; Tong Yu 001; Handong Zhao; Ruiyi Zhang 002; Shuai Li 010 (SIGIR, 2022)

Wasserstein Uncertainty Estimation for Adversarial Domain Matching. - Rui Wang 088; Ruiyi Zhang 002; Ricardo Henao (Frontiers Big Data, 2022)

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. - Junda Wu; Rui Wang 088; Handong Zhao; Ruiyi Zhang 002; Chaochao Lu; Shuai Li 010; Ricardo Henao (AAAI, 2023)

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. - Rui Wang 088; Tong Yu 001; Junda Wu; Handong Zhao; Sungchul Kim; Ruiyi Zhang 002; Subrata Mitra; Ricardo Henao (ACL (Findings), 2023)

Understanding Demonstration-based Learning from a Causal Perspective. - Ruiyi Zhang 002; Tong Yu 001 (ACL (2), 2023)

A Critical Analysis of Document Out-of-Distribution Detection. - Jiuxiang Gu; Yifei Ming; Yi Zhou; Jason Kuen; Vlad I. Morariu; Handong Zhao; Ruiyi Zhang 002; Nikolaos Barmpalios; Anqi Liu; Yixuan Li 001; Tong Sun 005; Ani Nenkova (EMNLP (Findings), 2023)

Learning Navigational Visual Representations with Semantic Map Supervision. - Yicong Hong; Yang Zhou; Ruiyi Zhang 002; Franck Dernoncourt; Trung Bui; Stephen Gould; Hao Tan 002 (ICCV, 2023)

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. - Jian Chen 043; Ruiyi Zhang 002; Tong Yu 001; Rohan Sharma; Zhiqiang Xu; Tong Sun 005; Changyou Chen (NeurIPS, 2023)

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. - Junda Wu; Tong Yu 001; Rui Wang 088; Zhao Song 002; Ruiyi Zhang 002; Handong Zhao; Chaochao Lu; Shuai Li 010; Ricardo Henao (NeurIPS, 2023)

Towards Building the Federated GPT: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Guoyin Wang 002; Yiran Chen 001 (CoRR, 2023)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (CoRR, 2023)

Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach. - Yufan Zhou 001; Ruiyi Zhang 002; Tong Sun 005; Jinhui Xu 001 (CoRR, 2023)

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. - Yanzhe Zhang; Ruiyi Zhang 002; Jiuxiang Gu; Yufan Zhou 001; Nedim Lipka; Diyi Yang; Tong Sun 005 (CoRR, 2023)

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. - Sicheng Zhu; Ruiyi Zhang 002; Bang An 001; Gang Wu 013; Joe Barrow; Zichao Wang 001; Furong Huang; Ani Nenkova; Tong Sun 005 (CoRR, 2023)

Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (CoRR, 2023)

Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. - Zhengmian Hu; Gang Wu 013; Saayan Mitra; Ruiyi Zhang 002; Tong Sun 005; Heng Huang; Vishy Swaminathan (CoRR, 2023)

VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding. - Yizhou Wang; Ruiyi Zhang 002; Haoliang Wang; Uttaran Bhattacharya; Yun Fu; Gang Wu 013 (CoRR, 2023)

Knowledge Graph Prompting for Multi-Document Question Answering. - Yu Wang 160; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang 002; Tyler Derr (AAAI, 2024)

Topology-aware Retrieval Augmentation for Text Generation. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

TRINS: Towards Multimodal Language Models that Can Read. - Ruiyi Zhang 002; Yanzhe Zhang; Jian Chen 043; Yufan Zhou 001; Jiuxiang Gu; Changyou Chen; Tong Sun 005 (CVPR, 2024)

Customization Assistant for Text-to-image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Tong Sun 005 (CVPR, 2024)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (EACL (1), 2024)

TextLap: Customizing Language Models for Text-to-Layout Planning. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Jennifer Healey; Jiuxiang Gu; Zhiqiang Xu; Changyou Chen (EMNLP (Findings), 2024)

Towards Building The Federatedgpt: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Tong Yu 001; Guoyin Wang 002; Yiran Chen 001 (ICASSP, 2024)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. - Shengcao Cao; Jiuxiang Gu; Jason Kuen; Hao Tan 002; Ruiyi Zhang 002; Handong Zhao; Ani Nenkova; Liangyan Gui; Tong Sun 005; Yu-Xiong Wang (ICLR, 2024)

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Changyou Chen (ICLR, 2024)

ADOPD: A Large-Scale Document Page Decomposition Dataset. - Jiuxiang Gu; Xiangxi Shi; Jason Kuen; Lu Qi; Ruiyi Zhang 002; Anqi Liu; Ani Nenkova; Tong Sun 005 (ICLR, 2024)

Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (NAACL-HLT (Findings), 2024)

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. - Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Junda Wu; Subrata Mitra; Lina Yao 001; Ricardo Henao (NAACL-HLT (Findings), 2024)

Bias and Fairness in Large Language Models: A Survey. - Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Sungchul Kim; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; Nesreen K. Ahmed (Comput. Linguistics, 2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt (CoRR, 2024)

Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. - Wanrong Zhu; Jennifer Healey; Ruiyi Zhang 002; William Yang Wang; Tong Sun 005 (CoRR, 2024)

Improve Temporal Awareness of LLMs for Sequential Recommendation. - Zhendong Chu; Zichao Wang 001; Ruiyi Zhang 002; Yangfeng Ji; Hongning Wang; Tong Sun 005 (CoRR, 2024)

Augmenting Textual Generation via Topology Aware Retrieval. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CoRR, 2024)

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Kaizhi Zheng; Nanxuan Zhao; Jiuxiang Gu; Zichao Wang 001; Xin Eric Wang; Tong Sun 005 (CoRR, 2024)

ARTIST: Improving the Generation of Text-rich Images by Disentanglement. - Jianyi Zhang; Yufan Zhou 001; Jiuxiang Gu; Curtis Wigington; Tong Yu 001; Yiran Chen 001; Tong Sun 005; Ruiyi Zhang 002 (CoRR, 2024)

LongLaMP: A Benchmark for Personalized Long-form Text Generation. - Ishita Kumar; Snigdha Viswanathan; Sushrita Yerra; Alireza Salemi; Ryan A. Rossi; Franck Dernoncourt; Hanieh Deilamsalehy; Xiang Chen; Ruiyi Zhang 002; Shubham Agarwal 007; Nedim Lipka; Hamed Zamani (CoRR, 2024)

KaPQA: Knowledge-Augmented Product Question-Answering. - Swetha Eppalapally; Daksh Dangi; Chaithra Bhat; Ankita Gupta; Ruiyi Zhang 002; Shubham Agarwal 007; Karishma Bagga; Seunghyun Yoon 002; Nedim Lipka; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2024)

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. - Ruiyi Zhang 002; Yufan Zhou 001; Jian Chen 043; Jiuxiang Gu; Changyou Chen; Tong Sun 005 (CoRR, 2024)

MMR: Evaluating Reading Ability of Large Multimodal Models. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Ryan A. Rossi; Jiuxiang Gu; Changyou Chen (CoRR, 2024)

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. - Bang An 001; Sicheng Zhu; Ruiyi Zhang 002; Michael-Andrei Panaitescu-Liess; Yuancheng Xu; Furong Huang (CoRR, 2024)

A Multi-LLM Debiasing Framework. - Deonna M. Owens; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Franck Dernoncourt; Xiang Chen; Ruiyi Zhang 002; Jiuxiang Gu; Hanieh Deilamsalehy; Nedim Lipka (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

Taipan: Efficient and Expressive State Space Language Models with Selective Attention. - Chien Van Nguyen; Huy Huu Nguyen; Thang M. Pham; Ruiyi Zhang 002; Hanieh Deilamsalehy; Puneet Mathur; Ryan A. Rossi; Trung Bui; Viet Dac Lai; Franck Dernoncourt; Thien Huu Nguyen (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications. - Reuben Luera; Ryan A. Rossi; Alexa F. Siu; Franck Dernoncourt; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Xiang Chen; Hanieh Salehy; Jian Zhao 010; Samyadeep Basu; Puneet Mathur; et al. (CoRR, 2024)

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (CoRR, 2024)

DynaSaur: Large Language Agents Beyond Predefined Actions. - Dang Nguyen; Viet Dac Lai; Seunghyun Yoon 002; Ryan A. Rossi; Handong Zhao; Ruiyi Zhang 002; Puneet Mathur; Nedim Lipka; Yu Wang 160; Trung Bui; Franck Dernoncourt; Tianyi Zhou 001 (CoRR, 2024)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Nanxuan Zhao; Jing Shi 005; Tong Sun 005 (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 002; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 005; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (AAAI, 2025)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. - Shijie Zhou; Ruiyi Zhang 002; Yufan Zhou 001; Changyou Chen (COLING, 2025)

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (ICLR, 2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan Aponte; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt; Nedim Lipka; Deonna M. Owens; et al. (NAACL (Short Papers), 2025)

ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. - Jianyi Zhang; Yufan Zhou 001; Jiuxiang Gu; Curtis Wigington; Tong Yu 001; Yiran Chen 001; Tong Sun 005; Ruiyi Zhang 002 (WACV, 2025)

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (WWW (Companion Volume), 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration. - Yue Fan; Handong Zhao; Ruiyi Zhang 002; Yu Shen; Xin Eric Wang; Gang Wu 013 (CoRR, 2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. - Chengkai Huang; Junda Wu; Yu Xia 007; Zixu Yu; Ruhan Wang; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Branislav Kveton; Dongruo Zhou; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Towards Visual Text Grounding of Multimodal Large Language Model. - Ming Li; Ruiyi Zhang 002; Jian Chen 043; Jiuxiang Gu; Yufan Zhou 001; Franck Dernoncourt; Wanrong Zhu; Tianyi Zhou 001; Tong Sun 005 (CoRR, 2025)

CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. - Rui Wang 088; Junda Wu; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning. - Ming Li; Chenguang Wang; Yijun Liang; Xiyao Wang; Yuhang Zhou; Xiyang Wu; Yuqing Zhang; Ruiyi Zhang 002; Tianyi Zhou 001 (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)

Lizard: An Efficient Linearization Framework for Large Language Models. - Chien Van Nguyen; Ruiyi Zhang 002; Hanieh Deilamsalehy; Puneet Mathur; Viet Dac Lai; Haoliang Wang; Jayakumar Subramanian; Ryan A. Rossi; Trung Bui; Nikos Vlassis; Franck Dernoncourt; Thien Huu Nguyen (CoRR, 2025)

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. - Shijie Zhou; Ruiyi Zhang 002; Huaisheng Zhu; Branislav Kveton; Yufan Zhou 001; Jiuxiang Gu; Jian Chen 043; Changyou Chen (CoRR, 2025)